EP1017241A2 - Methode de compensation de couleur d'image lors de l'ajustement du contraste d'une image couleur numérique - Google Patents

Methode de compensation de couleur d'image lors de l'ajustement du contraste d'une image couleur numérique Download PDF

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Publication number
EP1017241A2
EP1017241A2 EP99204060A EP99204060A EP1017241A2 EP 1017241 A2 EP1017241 A2 EP 1017241A2 EP 99204060 A EP99204060 A EP 99204060A EP 99204060 A EP99204060 A EP 99204060A EP 1017241 A2 EP1017241 A2 EP 1017241A2
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EP
European Patent Office
Prior art keywords
tone scale
color
scale function
output
determining
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
EP99204060A
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German (de)
English (en)
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EP1017241B1 (fr
EP1017241A3 (fr
Inventor
Andrew Charles Gallagher
Edward Brooks Gindele
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Eastman Kodak Co
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Eastman Kodak Co
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00Details of television systems
    • H04N5/44Receiver circuitry for the reception of television signals according to analogue transmission standards
    • H04N5/57Control of contrast or brightness
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N9/00Details of colour television systems
    • H04N9/64Circuits for processing colour signals
    • H04N9/643Hue control means, e.g. flesh tone control

Definitions

  • the invention relates generally to the field of digital color image processing and, more particularly, for compensating the image color differences for the applied luminance tone scale.
  • the first method involves applying the tone scale function to each of the color signals of the original image. This may be implemented by applying a tone scale function Look-Up-Table to each of the red, green, and blue channels of an image independently.
  • tone scale application by this method has a color characteristic in addition to the modification of the overall image contrast.
  • the image processed by a tone scale function in the manner described will effect each pixel's hue and saturation.
  • a second method of tone scale application involves rotating a color image into a space consisting of a luminance signal and several chrominance channels.
  • the tone scale function is then applied only to the luminance channel.
  • the processed image is obtained by applying an inverse matrix to produce transformed red, green, and blue pixel values. This method preserves the original chrominance signal at each pixel. However, because the luminance contrast was modified and the chrominance contrast was preserved, the color saturation of the resulting image may appear artificial and unnatural.
  • Viggiano and Wang proposed (1992 TAGA Proceedings: A Comparison of Algorithms for Mapping Color Between Media of Differing Luminance Ranges , pp. 959-974) a method of scaling the chroma signal of a digital color image by a factor midway between unity and the ratio of the L* range of the reproduction and the original.
  • this solution does not anticipate tone scale functions that vary the level of compression dependent upon the intensity of the input.
  • a single factor that scales the chroma signal of the input image is inappropriate for a wide range of possible tone scale functions.
  • Wada describes a method to correct color saturation when compressing the dynamic range of an image.
  • this method once again determines the correction factor based upon the relationship of the input image dynamic range and the output image dynamic range.
  • Hickman describes a method of modifying the luminance signal of an input image, then "multiplying the color components by a transfer ratio of modified luminance to unmodified luminance to obtain modified color components.”
  • this method again does not consider that a tone scale function may consist of several ranges of varying level of contrast compression or enhancement.
  • the object of the present invention is directed to providing a superior method of compensating the color saturation characteristics of a digital color image for the application of a tone scale function.
  • the invention resides in the steps of:(a) receiving a tone scale function; (b) calculating a local slope of the tone scale function for each pixel of the digital color image; (c) calculating a color saturation signal from the digital color image, and (d) adjusting the color saturation signal of the digital color image for each of the pixels based on the calculated local slope.
  • Fig. 1 there is illustrated an overview of the present invention. It is instructive to note that the present invention utilizes a digital color image that is typically a two-dimensional array of red, green, and blue pixel values. The description of the present invention is applicable to an image of any resolution.
  • the purpose of the present invention is the modification of the color saturation characteristics of a color image in accordance with the luminance contrast modification.
  • the color saturation characteristics of a color image may be represented by a color saturation signal.
  • color saturation signals may be calculated in a number of ways. For example, as one calculation of a color saturation signal, color difference signals may be calculated simply by implementing matrix multiplication on pixel values of the original image. Color difference signals refer to the difference of a color channel to a reference channel. A three channel color image consisting of a red, green, and blur channels may be convened to a three channel image consisting of a luminance channel and two color difference channels by matrix multiplication.
  • a single color saturation signal could be created by converting the two color difference signals to polar form by calculating an angle and a radius.
  • the calculation of polar coordinates from rectangular coordinates is well known in the art and will not be further described.
  • the radius of the polar representation of the color difference signals represents the color saturation signal.
  • the method of the present invention could be performed with equal success on such a color saturation measure.
  • the preferred embodiment of the present invention modifies the color difference signals as a means of modifying the color saturation characteristics.
  • the input image is passed into the color difference adjuster 10.
  • the color difference adjuster adjusts the relative color difference of each pixel in the input image in accordance to a provided tone scale function, as will be further described. It is necessary to note that the provided tone scale function may be implemented as a LUT, or may be the implied tonal response of a device that resides in the imaging chain.
  • the output of the color difference adjuster is a transformed color image with color difference signals modified to compensate for the tone scale function.
  • Fig. 2 therein is illustrated an exploded view of the color difference adjuster 10.
  • the preferred embodiment shown in Fig. 2 assumes that the input image has not yet been modified by the given tone scale.
  • An alternative embodiment will describe a method of application of the present invention on an image that has already had the tone scale applied to the luminance channel of the image at the time the image is passed to the color difference adjuster 10.
  • the color difference signals as well as a luminance signal of the original color image are computed by the color difference transformer 20.
  • the computation of the color difference signals by the color difference transformer may be performed by a matrix operation. For example, in the preferred embodiment, a luminance signal and two color difference signals may be determined for each pixel of the input image by the following matrix transform: Where:
  • a luminance signal and three color difference signals may be determined for each signal, also with a matrix transform:
  • each color difference signal is a linear combination of the red, green, and blue intensities of a pixel of the original image.
  • the coefficients are such that the sum of the weights of the red, green, and blue coefficients must sum to 0.
  • the given tone scale function is input to the slope calculator 30.
  • the original red, green, and blue pixel values are also input to the slope calculator 30.
  • the purpose of the slope calculator 30 is to compute the local slope of the given tone scale function, evaluated for the current pixel being processed.
  • the output of the slope calculator 30 is passed to the adjustment factor calculator 40.
  • the purpose of the adjustment factor calculator 40 is to determine a scaling factor for the color difference signals, based upon the local slope of the tone scale function as determined by the slope calculator 20.
  • H i K ⁇ i ( f '- f ' 0 ) + f ' 0
  • K color position weight
  • the value of the color position weight K ranges from 0.0 to 1.0.
  • the color position weight K enables the method of the present invention to allow the calculation of the adjustment factor H i to vary based upon the color characteristics of the pixel.
  • K is a function of the luminance L and color difference C i values.
  • Fig. 5 illustrates the use of a two-dimensional LUT 90 as a method of determining the value of K for each pixel. As shown in Fig. 5, the value of the color position weight K is shown to be dependent upon the color differences C i .
  • This formulation of the color position weight K allows the method of the present invention to adjust the color difference values of pixels that are colored similarly to human flesh (K ⁇ 1.0), but preserve the original color difference values for pixels that are colored differently than human flesh (K ⁇ 0.0).
  • This embodiment has been found to be advantageous to avoid desaturation of saturated objects such as sky, while allowing for the required modifications to the color difference values of flesh color pixels.
  • a color position weight K may take many forms (such as introducing a luminance L value dependence into the determination of the color position weight K) without significantly deviating from the scope of the present invention.
  • the output of the adjustment factor calculator 40 is passed to the multiplier 50.
  • the purpose of the multiplier 50 is to scale each of the color difference signals by the output of the adjustment factor calculator 40.
  • the luminance signal L calculated by the color difference transformer may be passed to the tone scale applicator 60.
  • the given tone scale function may be applied to the image as a processing step following the application of the present invention.
  • the tone scale applicator 60 modifies the luminance signal with the application of the given tone scale function.
  • a Look-Up-Table may be implemented in order to apply the tone scale function.
  • the method of U.S. patent 5,012,333 may be implemented. In either of these cases, the signal output of the tone scale applicator is a function of the input luminance signal.
  • L p f(L)
  • the compensated color difference signals and the luminance signal are passed to the RGB reconstructor 70.
  • the RGB reconstructor 70 converts the image from a luminance signal and a plurality of color difference signals to an image containing at each pixel location red, green, and blue intensity values. This conversion is accomplished by the use of a matrix. If a three by three matrix was used by the color difference transformer 20, then the conversion performed by the RGB reconstructor is to simply multiply a vector of the luminance signal and two color difference signals by the inverse of the matrix used by the color difference transformer 20. In the preferred embodiment, Where:
  • the RGB reconstructor 70 performs the following operation in order to produce R p , G p , and B p .
  • the product of the matrix used by the RGB reconstructor 70 and the matrix used by the color difference transformer 20 is an identity matrix.
  • the R p , G p , and B p signals are output from the RGB reconstructor 70.
  • these three processed color planes form a processed image in which the color difference signals have been modified in accordance with the luminance modification by a given tone scale function.
  • the image input to the color difference adjuster 10 may already have been modified by the given tone scale function.
  • the given tone scale function may have been applied to either each of the color channels of the input image or to only the luminance channel of the given image.
  • the image input to the color difference adjuster 10 is first passed to the color difference transformer 20 in order to generate a luminance signal and several color difference signals.
  • the color difference signals output from the color difference transformer 20 are passed to the multiplier, which scales each of the color difference channels by a factor output by the adjustment factor calculator 40, as previously described in the preferred embodiment.
  • the modified color difference channels output from the multiplier 50 are, along with the luminance channel output from the color difference transformer 20, passed to the RGB reconstructor 70.
  • the output of the RGB reconstructor 70 is a processed image with the color differences appropriately adjusted for the given tone scale function.
  • the tone scale function that has already been applied to each of the color channels of the input image is passed to the inverse function generator 80.
  • the inverse function generator constructs the inverse of the tone scale function. Finding the inverse of a function is a well known technique in mathematics and will not be further discussed.
  • the inverse tone scale function generated by the inverse function generator 80 is then passed to the slope calculator 30, the operation of which has previously been described.
  • the output of the slope calculator is passed to the adjustment factor calculator 40, the operation of which has also been described.
  • Fig. 4 may be implemented to modify the color difference signals of the input image in an appropriate manner.
  • Fig.4 The alternative embodiment illustrated by Fig.4 is identical to the preferred embodiment with the exception that there is no option to apply the given tone scale function to the luminance signal of the input image by the tone scale applicator 60 shown in Fig. 2.
  • an additional tone scale applicator 60 would be redundant and was thus omitted from the alternative embodiment as illustrated in Fig. 4.
  • aspects of the invention include the method further comprising the step of providing a color position weight based upon the pixel value of the original digital color image; and the method wherein the step of adjusting the color saturation signal of the digital color image is dependent upon both the calculated local slope and the color position weight.

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Image Processing (AREA)
  • Facsimile Image Signal Circuits (AREA)
  • Processing Of Color Television Signals (AREA)
EP99204060A 1998-12-31 1999-12-01 Methode de compensation de couleur d'image lors de l'ajustement du contraste d'une image couleur numérique Expired - Lifetime EP1017241B1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US09/224,028 US6438264B1 (en) 1998-12-31 1998-12-31 Method for compensating image color when adjusting the contrast of a digital color image
US224028 1998-12-31

Publications (3)

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EP1017241A2 true EP1017241A2 (fr) 2000-07-05
EP1017241A3 EP1017241A3 (fr) 2004-01-21
EP1017241B1 EP1017241B1 (fr) 2008-05-14

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EP (1) EP1017241B1 (fr)
JP (1) JP4766728B2 (fr)
DE (1) DE69938708D1 (fr)

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1292118A2 (fr) * 2001-08-23 2003-03-12 Eastman Kodak Company Correction d'échelles de tonalité d'images numériques
EP1392063A2 (fr) * 2002-08-23 2004-02-25 Samsung Electronics Co., Ltd. Dispositif et procédé de réglage de la saturation de couleur
EP1413985A2 (fr) * 2002-10-25 2004-04-28 Eastman Kodak Company Amélioration des caractéristiques de teinte, d'espace et de couleur d'images numériques, avec utilisation de fonctions d'échelle de teinte expansives et compressives
EP1413986A2 (fr) * 2002-10-25 2004-04-28 Eastman Kodak Company Amélioration des caractéristiques spatiales et de gradation des images numériques avec des filtres spatiaux selectifs
EP1480468A2 (fr) * 2003-05-17 2004-11-24 STMicroelectronics Asia Pacific Pte Ltd Méthode et appareil pour la compensation de la saturation de la chrominance
US6868179B2 (en) 2001-07-06 2005-03-15 Jasc Software, Inc. Automatic saturation adjustment
WO2020000546A1 (fr) * 2018-06-25 2020-01-02 深圳市华星光电技术有限公司 Procédé et appareil pour améliorer une couleur d'image
CN111161194A (zh) * 2019-12-31 2020-05-15 Tcl华星光电技术有限公司 图像处理方法

Families Citing this family (111)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7042505B1 (en) 1997-10-09 2006-05-09 Fotonation Ireland Ltd. Red-eye filter method and apparatus
US7738015B2 (en) 1997-10-09 2010-06-15 Fotonation Vision Limited Red-eye filter method and apparatus
US7630006B2 (en) 1997-10-09 2009-12-08 Fotonation Ireland Limited Detecting red eye filter and apparatus using meta-data
US6002804A (en) * 1998-03-26 1999-12-14 Hewlett-Packard Company Tone dependent variable halftoning with adjustable algorithm selection
JP3825932B2 (ja) * 1999-02-19 2006-09-27 キヤノン株式会社 画像処理装置、方法及びコンピュータ読み取り可能な記憶媒体
US6717698B1 (en) * 2000-02-02 2004-04-06 Eastman Kodak Company Tone scale processing based on image modulation activity
US6721000B1 (en) * 2000-02-23 2004-04-13 Neomagic Corp. Adaptive pixel-level color enhancement for a digital camera
US6912307B2 (en) 2001-02-07 2005-06-28 Ramot Fyt Tel Aviv University Ltd. Method for automatic color and intensity contrast adjustment of still and video images
US6731797B2 (en) * 2001-03-14 2004-05-04 Eastman Kodak Company Color dependent luminance processing
US7436996B2 (en) * 2001-06-07 2008-10-14 Genoa Color Technologies Ltd Device, system and method of data conversion for wide gamut displays
EP1292113A3 (fr) * 2001-08-23 2005-03-23 Eastman Kodak Company Réglage d'échelle de tonalité
US6894720B2 (en) * 2001-08-30 2005-05-17 Hewlett-Packard Development Company, L.P. Method and apparatus for applying tone mapping functions to color images
US7280703B2 (en) * 2002-11-14 2007-10-09 Eastman Kodak Company Method of spatially filtering a digital image using chrominance information
US7269292B2 (en) * 2003-06-26 2007-09-11 Fotonation Vision Limited Digital image adjustable compression and resolution using face detection information
US7844076B2 (en) 2003-06-26 2010-11-30 Fotonation Vision Limited Digital image processing using face detection and skin tone information
US8498452B2 (en) 2003-06-26 2013-07-30 DigitalOptics Corporation Europe Limited Digital image processing using face detection information
US7574016B2 (en) 2003-06-26 2009-08-11 Fotonation Vision Limited Digital image processing using face detection information
US7587085B2 (en) 2004-10-28 2009-09-08 Fotonation Vision Limited Method and apparatus for red-eye detection in an acquired digital image
US8363951B2 (en) 2007-03-05 2013-01-29 DigitalOptics Corporation Europe Limited Face recognition training method and apparatus
US7616233B2 (en) * 2003-06-26 2009-11-10 Fotonation Vision Limited Perfecting of digital image capture parameters within acquisition devices using face detection
US7920723B2 (en) 2005-11-18 2011-04-05 Tessera Technologies Ireland Limited Two stage detection for photographic eye artifacts
US7440593B1 (en) 2003-06-26 2008-10-21 Fotonation Vision Limited Method of improving orientation and color balance of digital images using face detection information
US7680342B2 (en) 2004-08-16 2010-03-16 Fotonation Vision Limited Indoor/outdoor classification in digital images
US8896725B2 (en) 2007-06-21 2014-11-25 Fotonation Limited Image capture device with contemporaneous reference image capture mechanism
US9129381B2 (en) 2003-06-26 2015-09-08 Fotonation Limited Modification of post-viewing parameters for digital images using image region or feature information
US8170294B2 (en) 2006-11-10 2012-05-01 DigitalOptics Corporation Europe Limited Method of detecting redeye in a digital image
US9692964B2 (en) 2003-06-26 2017-06-27 Fotonation Limited Modification of post-viewing parameters for digital images using image region or feature information
US7317815B2 (en) * 2003-06-26 2008-01-08 Fotonation Vision Limited Digital image processing composition using face detection information
US8155397B2 (en) 2007-09-26 2012-04-10 DigitalOptics Corporation Europe Limited Face tracking in a camera processor
US8989453B2 (en) 2003-06-26 2015-03-24 Fotonation Limited Digital image processing using face detection information
US8682097B2 (en) 2006-02-14 2014-03-25 DigitalOptics Corporation Europe Limited Digital image enhancement with reference images
US8036458B2 (en) 2007-11-08 2011-10-11 DigitalOptics Corporation Europe Limited Detecting redeye defects in digital images
US8948468B2 (en) 2003-06-26 2015-02-03 Fotonation Limited Modification of viewing parameters for digital images using face detection information
US8593542B2 (en) 2005-12-27 2013-11-26 DigitalOptics Corporation Europe Limited Foreground/background separation using reference images
US8254674B2 (en) 2004-10-28 2012-08-28 DigitalOptics Corporation Europe Limited Analyzing partial face regions for red-eye detection in acquired digital images
US7536036B2 (en) 2004-10-28 2009-05-19 Fotonation Vision Limited Method and apparatus for red-eye detection in an acquired digital image
US8494286B2 (en) 2008-02-05 2013-07-23 DigitalOptics Corporation Europe Limited Face detection in mid-shot digital images
US7792335B2 (en) 2006-02-24 2010-09-07 Fotonation Vision Limited Method and apparatus for selective disqualification of digital images
US7689009B2 (en) 2005-11-18 2010-03-30 Fotonation Vision Ltd. Two stage detection for photographic eye artifacts
US7620218B2 (en) 2006-08-11 2009-11-17 Fotonation Ireland Limited Real-time face tracking with reference images
US7471846B2 (en) 2003-06-26 2008-12-30 Fotonation Vision Limited Perfecting the effect of flash within an image acquisition devices using face detection
US8330831B2 (en) 2003-08-05 2012-12-11 DigitalOptics Corporation Europe Limited Method of gathering visual meta data using a reference image
US7362368B2 (en) * 2003-06-26 2008-04-22 Fotonation Vision Limited Perfecting the optics within a digital image acquisition device using face detection
US7792970B2 (en) 2005-06-17 2010-09-07 Fotonation Vision Limited Method for establishing a paired connection between media devices
US7565030B2 (en) 2003-06-26 2009-07-21 Fotonation Vision Limited Detecting orientation of digital images using face detection information
US8553949B2 (en) 2004-01-22 2013-10-08 DigitalOptics Corporation Europe Limited Classification and organization of consumer digital images using workflow, and face detection and recognition
US7970182B2 (en) 2005-11-18 2011-06-28 Tessera Technologies Ireland Limited Two stage detection for photographic eye artifacts
US7587068B1 (en) 2004-01-22 2009-09-08 Fotonation Vision Limited Classification database for consumer digital images
US8520093B2 (en) 2003-08-05 2013-08-27 DigitalOptics Corporation Europe Limited Face tracker and partial face tracker for red-eye filter method and apparatus
US20050140801A1 (en) * 2003-08-05 2005-06-30 Yury Prilutsky Optimized performance and performance for red-eye filter method and apparatus
US9412007B2 (en) 2003-08-05 2016-08-09 Fotonation Limited Partial face detector red-eye filter method and apparatus
US7187799B2 (en) * 2003-08-18 2007-03-06 Xerox Corporation Method for determining a hue adjustment to an input hue
US7196735B2 (en) * 2003-08-18 2007-03-27 Xerox Corporation Method for determining an adjustment amount to an input chroma
US7190831B2 (en) * 2003-08-18 2007-03-13 Xerox Corporation Method for squeezing an input hue toward a region of preferred hue
US7466868B2 (en) * 2003-10-03 2008-12-16 Adobe Systems Incorporated Determining parameters for adjusting images
US7412105B2 (en) 2003-10-03 2008-08-12 Adobe Systems Incorporated Tone selective adjustment of images
US7071948B2 (en) * 2003-10-21 2006-07-04 Adobe Systems Incorporated Adjusting images based on previous modifications
US7551755B1 (en) 2004-01-22 2009-06-23 Fotonation Vision Limited Classification and organization of consumer digital images using workflow, and face detection and recognition
US7564994B1 (en) 2004-01-22 2009-07-21 Fotonation Vision Limited Classification system for consumer digital images using automatic workflow and face detection and recognition
US7558408B1 (en) 2004-01-22 2009-07-07 Fotonation Vision Limited Classification system for consumer digital images using workflow and user interface modules, and face detection and recognition
US7555148B1 (en) 2004-01-22 2009-06-30 Fotonation Vision Limited Classification system for consumer digital images using workflow, face detection, normalization, and face recognition
US7327404B2 (en) * 2004-10-22 2008-02-05 Mediatek Incorporation Methods and systems for color image processing
US8320641B2 (en) * 2004-10-28 2012-11-27 DigitalOptics Corporation Europe Limited Method and apparatus for red-eye detection using preview or other reference images
US7715597B2 (en) 2004-12-29 2010-05-11 Fotonation Ireland Limited Method and component for image recognition
US8503800B2 (en) 2007-03-05 2013-08-06 DigitalOptics Corporation Europe Limited Illumination detection using classifier chains
US7315631B1 (en) 2006-08-11 2008-01-01 Fotonation Vision Limited Real-time face tracking in a digital image acquisition device
US7599577B2 (en) 2005-11-18 2009-10-06 Fotonation Vision Limited Method and apparatus of correcting hybrid flash artifacts in digital images
US20070126876A1 (en) * 2005-11-30 2007-06-07 Eastman Kodak Company Locating digital image planar surfaces
US20070121094A1 (en) * 2005-11-30 2007-05-31 Eastman Kodak Company Detecting objects of interest in digital images
US7821570B2 (en) * 2005-11-30 2010-10-26 Eastman Kodak Company Adjusting digital image exposure and tone scale
JP4643715B2 (ja) 2006-02-14 2011-03-02 テセラ テクノロジーズ アイルランド リミテッド 赤目ではない目の閃光による不良の自動的な検知および補正
US7804983B2 (en) 2006-02-24 2010-09-28 Fotonation Vision Limited Digital image acquisition control and correction method and apparatus
DE602007012246D1 (de) 2006-06-12 2011-03-10 Tessera Tech Ireland Ltd Fortschritte bei der erweiterung der aam-techniken aus grauskalen- zu farbbildern
WO2008015586A2 (fr) 2006-08-02 2008-02-07 Fotonation Vision Limited Reconnaissance faciale avec ensembles de données combinés basés sur une acp
US7916897B2 (en) 2006-08-11 2011-03-29 Tessera Technologies Ireland Limited Face tracking for controlling imaging parameters
US7403643B2 (en) 2006-08-11 2008-07-22 Fotonation Vision Limited Real-time face tracking in a digital image acquisition device
TWI355856B (en) * 2006-12-14 2012-01-01 Au Optronics Corp Method and related apparatus of compensating color
US8055067B2 (en) 2007-01-18 2011-11-08 DigitalOptics Corporation Europe Limited Color segmentation
JP5049356B2 (ja) 2007-02-28 2012-10-17 デジタルオプティックス・コーポレイション・ヨーロッパ・リミテッド テクスチャ空間分解に基づく統計的顔モデリングにおける指向性照明変動性の分離
WO2008109622A1 (fr) 2007-03-05 2008-09-12 Fotonation Vision Limited Catégorisation de visage et annotation d'une liste de contacts de téléphone mobile
US8649604B2 (en) 2007-03-05 2014-02-11 DigitalOptics Corporation Europe Limited Face searching and detection in a digital image acquisition device
EP2145288A4 (fr) 2007-03-05 2013-09-04 Digitaloptics Corp Europe Ltd Filtrage de faux positif d'yeux rouges en utilisant une localisation et orientation de visage
US7916971B2 (en) 2007-05-24 2011-03-29 Tessera Technologies Ireland Limited Image processing method and apparatus
US8503818B2 (en) 2007-09-25 2013-08-06 DigitalOptics Corporation Europe Limited Eye defect detection in international standards organization images
US8023760B1 (en) * 2007-12-06 2011-09-20 The United States Of America As Represented By The Secretary Of The Navy System and method for enhancing low-visibility imagery
US8750578B2 (en) 2008-01-29 2014-06-10 DigitalOptics Corporation Europe Limited Detecting facial expressions in digital images
US8212864B2 (en) 2008-01-30 2012-07-03 DigitalOptics Corporation Europe Limited Methods and apparatuses for using image acquisition data to detect and correct image defects
US8638338B2 (en) * 2008-02-11 2014-01-28 Apple Inc. Adjusting color attribute of an image in a non-uniform way
US7855737B2 (en) 2008-03-26 2010-12-21 Fotonation Ireland Limited Method of making a digital camera image of a scene including the camera user
CN103402070B (zh) 2008-05-19 2017-07-07 日立麦克赛尔株式会社 记录再现装置及方法
TW201001334A (en) * 2008-06-20 2010-01-01 Altek Corp Adjustment method of color tone for digital image and electronic apparatus thereof
CN101621608B (zh) * 2008-07-04 2012-09-19 华晶科技股份有限公司 数字影像的色调调整方法及其电子装置
JP5547730B2 (ja) 2008-07-30 2014-07-16 デジタルオプティックス・コーポレイション・ヨーロッパ・リミテッド 顔検知を用いた顔及び肌の自動美化
US8081254B2 (en) 2008-08-14 2011-12-20 DigitalOptics Corporation Europe Limited In-camera based method of detecting defect eye with high accuracy
WO2010063463A2 (fr) 2008-12-05 2010-06-10 Fotonation Ireland Limited Reconnaissance de visage au moyen de données de classificateur de suiveur de visage
TWI387313B (zh) * 2009-05-21 2013-02-21 Novatek Microelectronics Corp 影像處理電路及方法
US20100295782A1 (en) 2009-05-21 2010-11-25 Yehuda Binder System and method for control based on face ore hand gesture detection
US8379917B2 (en) 2009-10-02 2013-02-19 DigitalOptics Corporation Europe Limited Face recognition performance using additional image features
US8692867B2 (en) 2010-03-05 2014-04-08 DigitalOptics Corporation Europe Limited Object detection and rendering for wide field of view (WFOV) image acquisition systems
US8836777B2 (en) 2011-02-25 2014-09-16 DigitalOptics Corporation Europe Limited Automatic detection of vertical gaze using an embedded imaging device
TWI538473B (zh) * 2011-03-15 2016-06-11 杜比實驗室特許公司 影像資料轉換的方法與設備
US8896703B2 (en) 2011-03-31 2014-11-25 Fotonation Limited Superresolution enhancment of peripheral regions in nonlinear lens geometries
US8947501B2 (en) 2011-03-31 2015-02-03 Fotonation Limited Scene enhancements in off-center peripheral regions for nonlinear lens geometries
US20130201316A1 (en) 2012-01-09 2013-08-08 May Patents Ltd. System and method for server based control
US9202433B2 (en) 2012-03-06 2015-12-01 Apple Inc. Multi operation slider
US8971623B2 (en) 2012-03-06 2015-03-03 Apple Inc. Overlaid user interface tools for applying effects to image
US9131192B2 (en) 2012-03-06 2015-09-08 Apple Inc. Unified slider control for modifying multiple image properties
US20130238747A1 (en) 2012-03-06 2013-09-12 Apple Inc. Image beaming for a media editing application
KR20140122605A (ko) * 2013-04-10 2014-10-20 삼성전자주식회사 입력 영상의 밝기 조절 장치 및 방법
WO2015162605A2 (fr) 2014-04-22 2015-10-29 Snapaid Ltd Système et procédé de commande d'un appareil photo d'après un traitement d'une image capturée par un autre appareil photo
WO2016207875A1 (fr) 2015-06-22 2016-12-29 Photomyne Ltd. Système et procédé de détection d'objets dans une image

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4812902A (en) * 1986-08-29 1989-03-14 Agfa-Gevaert Aktiengesellschaft Method and apparatus for adjusting color saturation in electronic image processing
US4831434A (en) * 1986-08-29 1989-05-16 Agfa Gevaert Aktiengesellschaft Method of correcting color saturation in electronic image processing
US5426517A (en) * 1992-11-30 1995-06-20 Eastman Kodak Company Automated tone correction apparatus and method using filtered histogram equalization
US5446504A (en) * 1993-03-12 1995-08-29 Olympus Optical Co., Ltd. Image signal processing apparatus having function for compressing dynamic range and correcting color saturation
EP0833501A2 (fr) * 1996-09-30 1998-04-01 Samsung Electronics Co., Ltd. Circuit et procédé d'amélioration de la qualité d'image

Family Cites Families (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH0724425B2 (ja) * 1986-09-02 1995-03-15 富士写真フイルム株式会社 画像処理方法及び装置
US5012333A (en) * 1989-01-05 1991-04-30 Eastman Kodak Company Interactive dynamic range adjustment system for printing digital images
US5081692A (en) * 1991-04-04 1992-01-14 Eastman Kodak Company Unsharp masking using center weighted local variance for image sharpening and noise suppression
US5164993A (en) * 1991-11-25 1992-11-17 Eastman Kodak Company Method and apparatus for automatic tonescale generation in digital radiographic images
US5642204A (en) * 1992-12-02 1997-06-24 Industrial Technology Research Institute Error diffusion method
DE4418782C2 (de) * 1993-05-21 1997-01-09 Mitsubishi Electric Corp System und Verfahren zum Einstellen eines Farbbildes
US5638138A (en) * 1994-06-09 1997-06-10 Hickman; Charles B. Method for electronic image dynamic range and contrast modification
GB9420654D0 (en) * 1994-10-13 1994-11-30 Kodak Ltd A method for improving the contrast in photographic film materials
US5724456A (en) * 1995-03-31 1998-03-03 Polaroid Corporation Brightness adjustment of images using digital scene analysis
JP3696345B2 (ja) * 1996-10-03 2005-09-14 富士写真フイルム株式会社 画像処理方法及び装置
US5822453A (en) * 1996-12-10 1998-10-13 Eastman Kodak Company Method for estimating and adjusting digital image contrast
US6285798B1 (en) * 1998-07-06 2001-09-04 Eastman Kodak Company Automatic tone adjustment by contrast gain-control on edges
US6317521B1 (en) * 1998-07-06 2001-11-13 Eastman Kodak Company Method for preserving image detail when adjusting the contrast of a digital image
US6282312B1 (en) * 1998-09-28 2001-08-28 Eastman Kodak Company System using one or more residual image(s) to represent an extended color gamut digital image
US6285784B1 (en) * 1998-09-28 2001-09-04 Eastman Kodak Company Method of applying manipulations to an extended color gamut digital image
US6167165A (en) * 1998-11-25 2000-12-26 Eastman Kodak Company Method for adjusting image detail to compensate for an applied tone scale
US6275605B1 (en) * 1999-01-18 2001-08-14 Eastman Kodak Company Method for adjusting the tone scale of a digital image
US6122012A (en) * 1999-03-03 2000-09-19 Oplus Technologies Ltd. Method of selective color control of digital video images

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4812902A (en) * 1986-08-29 1989-03-14 Agfa-Gevaert Aktiengesellschaft Method and apparatus for adjusting color saturation in electronic image processing
US4831434A (en) * 1986-08-29 1989-05-16 Agfa Gevaert Aktiengesellschaft Method of correcting color saturation in electronic image processing
US5426517A (en) * 1992-11-30 1995-06-20 Eastman Kodak Company Automated tone correction apparatus and method using filtered histogram equalization
US5446504A (en) * 1993-03-12 1995-08-29 Olympus Optical Co., Ltd. Image signal processing apparatus having function for compressing dynamic range and correcting color saturation
EP0833501A2 (fr) * 1996-09-30 1998-04-01 Samsung Electronics Co., Ltd. Circuit et procédé d'amélioration de la qualité d'image

Cited By (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6868179B2 (en) 2001-07-06 2005-03-15 Jasc Software, Inc. Automatic saturation adjustment
US7251361B2 (en) 2001-07-06 2007-07-31 Corel Corporation Automatic saturation adjustment
EP1292118A2 (fr) * 2001-08-23 2003-03-12 Eastman Kodak Company Correction d'échelles de tonalité d'images numériques
EP1292118A3 (fr) * 2001-08-23 2004-05-26 Eastman Kodak Company Correction d'échelles de tonalité d'images numériques
EP1392063A2 (fr) * 2002-08-23 2004-02-25 Samsung Electronics Co., Ltd. Dispositif et procédé de réglage de la saturation de couleur
EP1392063A3 (fr) * 2002-08-23 2004-04-07 Samsung Electronics Co., Ltd. Dispositif et procédé de réglage de la saturation de couleur
US7042520B2 (en) 2002-08-23 2006-05-09 Samsung Electronics Co., Ltd. Method for color saturation adjustment with saturation limitation
US7058234B2 (en) 2002-10-25 2006-06-06 Eastman Kodak Company Enhancing the tonal, spatial, and color characteristics of digital images using expansive and compressive tone scale functions
EP1413985A3 (fr) * 2002-10-25 2004-10-13 Eastman Kodak Company Amélioration des caractéristiques de teinte, d'espace et de couleur d'images numériques, avec utilisation de fonctions d'échelle de teinte expansives et compressives
EP1413986A3 (fr) * 2002-10-25 2004-10-13 Eastman Kodak Company Amélioration des caractéristiques spatiales et de gradation des images numériques avec des filtres spatiaux selectifs
EP1413986A2 (fr) * 2002-10-25 2004-04-28 Eastman Kodak Company Amélioration des caractéristiques spatiales et de gradation des images numériques avec des filtres spatiaux selectifs
US7116838B2 (en) 2002-10-25 2006-10-03 Eastman Kodak Company Enhancing the tonal and spatial characteristics of digital images using selective spatial filters
EP1413985A2 (fr) * 2002-10-25 2004-04-28 Eastman Kodak Company Amélioration des caractéristiques de teinte, d'espace et de couleur d'images numériques, avec utilisation de fonctions d'échelle de teinte expansives et compressives
EP1480468A2 (fr) * 2003-05-17 2004-11-24 STMicroelectronics Asia Pacific Pte Ltd Méthode et appareil pour la compensation de la saturation de la chrominance
EP1480468A3 (fr) * 2003-05-17 2005-06-29 STMicroelectronics Asia Pacific Pte Ltd Méthode et appareil pour la compensation de la saturation de la chrominance
WO2020000546A1 (fr) * 2018-06-25 2020-01-02 深圳市华星光电技术有限公司 Procédé et appareil pour améliorer une couleur d'image
CN111161194A (zh) * 2019-12-31 2020-05-15 Tcl华星光电技术有限公司 图像处理方法
CN111161194B (zh) * 2019-12-31 2023-12-05 Tcl华星光电技术有限公司 图像处理方法

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US6438264B1 (en) 2002-08-20
JP2000207546A (ja) 2000-07-28

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